Policy that AI agents can read, enforce, and explain.
The first data platform built so agents can be trusted with real authority. Every classification, mask, and action is governed by risk-graded approval gates and tamper-evident audit trails.
100%
agent actions audit-logged
<1s
to revoke a compromised agent
Multi-tier
graduated autonomy with policy gates between every level
What ships, in detail.
Policy as code
Open Policy Agent at every layer — query, mask, action, agent. Version-controlled, testable, deployable. Not a PDF, not a wiki page.
Graduated autonomy
Agents earn autonomy through verified successful actions. Default state is advisory; promotion to auto-execute is policy-gated and revocable.
Approval chains
High-stakes actions (writes, exports, policy changes) route through configurable approval chains. Webhook integrations to Slack, PagerDuty, ServiceNow.
Hard kill switch
Revoke any agent's permissions globally in one API call. Audit log records who, what, when, and why.
Other capabilities that compound with this one.
Want to see it live?
A 30-minute demo against your real data. We'll show you this capability end-to-end and answer any architecture or security question your team has.